Vision-based robot learning towards RoboCup: Osaka University “Trackies“ View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2005-07-29

AUTHORS

S. Suzuki , Y. Takahashi , E. Uchibe , M. Nakamura , C. Mishima , H. Ishizuka , T. Kato , M. Asada

ABSTRACT

The authors have applied reinforcement learning methods to real robot tasks in several aspects. We selected a skill of soccer as a task for a vision-based mobile robot. In this paper, we explain two of our method; (1)learning a shooting behavior, and (2)learning a shooting with avoiding an opponent. These behaviors were obtained by a robot in simulation and tested in a real environment in RoboCup-97. We discuss current limitations and future work along with the results of RoboCup-97. More... »

PAGES

305-319

Book

TITLE

RoboCup-97: Robot Soccer World Cup I

ISBN

978-3-540-64473-6
978-3-540-69789-3

Author Affiliations

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/3-540-64473-3_69

DOI

http://dx.doi.org/10.1007/3-540-64473-3_69

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1037891070


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